What Does NVIDIA Do? From Graphics Cards to AI and Investment

NVIDIA is a globally influential company in the technology field, especially renowned in the graphics card, artificial intelligence, and gaming industries. Whether you want to learn about its products, are concerned about its stocks, or simply plan to buy a graphics card, the following text will provide a clear picture of NVIDIA. From company background to the latest technology, from driver installation to frequently asked questions, all the questions you care about are here.

What Does NVIDIA Do?

NVIDIA is an American technology company founded in 1993, with its headquarters in California. Its founder, Jensen Huang, remains the CEO to this day. Initially, NVIDIA focused on the design and development of graphics processing units (GPUs), mainly to enhance the image processing capabilities of computers. Later, it gradually expanded into fields such as artificial intelligence, gaming, and data centers, becoming one of the important enterprises in the technology industry.

There are several key points in NVIDIA’s development history:

• In 1995, the first product, NV1, was launched. Although it received a mediocre market response, it accumulated experience for subsequent research and development and initiated the exploration of graphics technology.
• In 1997, the RIVA 128 chip was introduced. It was the first 128-bit graphics chip that supported Microsoft Direct3D acceleration and was equipped with a hardware triangle engine. With its high pixel fill rate and support for OpenGL, it performed excellently in games without using the GLIDE API, winning the recognition of manufacturers and consumers.
• In 1999, the GeForce 256 was released. It was the world’s first GPU, which increased the number of PixelShader pipelines, supported the hardware T&L engine, and MPEG-2 hardware video acceleration. This not only consolidated NVIDIA’s dominant position in the computer graphics field but also pointed out the development direction of graphics cards.
• In 2006, CUDA was launched. It is a parallel computing platform and programming model that initiated the extensive application of GPUs in fields such as scientific computing and data analysis, expanding the application boundaries of GPUs and helping NVIDIA diversify its business.

Today, NVIDIA stands out in artificial intelligence computing, with its business scope covering multiple areas such as gaming graphics cards, AI chips, cloud computing, and autonomous driving.

What Products Does NVIDIA Have? Graphics Cards, Chips, and Software

NVIDIA has a variety of products, mainly focusing on graphics cards, AI chips, and related software.

Let’s start with graphics cards, which have several series:

• The GeForce series is designed for gamers. For example, the RTX 4090 is currently one of the most powerful models.
• The Titan series is positioned at a higher level and is more expensive, suitable for users who require extreme performance.
• The Quadro series is intended for professionals, such as designers and engineers who use it to handle 3D modeling or rendering tasks.
• The Tesla series is mainly used in data centers and AI computing, which is different from the usage of ordinary consumer-level graphics cards.

In recent years, NVIDIA’s focus has been on AI chips. The A100 chip, based on the Ampere architecture, is suitable for deep learning and high-performance computing. The H100 chip is more advanced, using the Hopper architecture and supporting the Transformer engine, specifically optimized for large AI models, and its computing power is much stronger than that of the A100. These two chips are very popular in the AI field.

In terms of software, NVIDIA has even more products. Omniverse is a virtual modeling tool that makes it convenient for users to create digital content. The driver programs and NVIDIA AI Enterprise are software that supports the hardware, serving gamers and enterprise users respectively. These products combine hardware and software, covering a variety of usage scenarios.

NVIDIA’s Latest Products and Technologies

Among NVIDIA’s latest products, the most notable in terms of graphics cards is the RTX 40 series.

• The RTX 4090, released in 2022, is a top-of-the-line model with powerful performance, suitable for tasks such as gaming and video editing. It supports ray tracing technology and DLSS 3, which can make the graphics more realistic while maintaining smoothness.
• In terms of AI technology, the H100 chip is currently the main product. Based on the Hopper architecture, it has a faster computing speed and is specifically designed for large AI models.
• It is said that a new chip based on the Blackwell architecture may be launched in 2025, and its performance is expected to reach a new level.

In addition, NVIDIA also owns cutting-edge technologies such as NVIDIA Dynamo. It significantly improves the operation efficiency of AI by optimizing the AI computing process and intelligently allocating computing resources.

Omniverse also provides a one-stop solution for enterprises to achieve digital twins in the industrial field. With the help of the Omniverse platform, enterprises can build digital models in a virtual environment that are highly consistent with real factories, products, etc. By simulating production processes, testing product performance, and other operations, they can discover problems in advance and optimize them, effectively reducing production costs and improving production efficiency.

This series of new technologies and products fully demonstrate NVIDIA’s leading position in the industry.

NVIDIA’s Applications in the Field of Artificial Intelligence

NVIDIA’s GPUs play a crucial role in the field of artificial intelligence and can be regarded as a core component.

Many technologies, whether it is deep learning, natural language processing, or computer vision, rely on its computing power. For example, autonomous driving, which has become very popular recently, is an important application scenario. NVIDIA’s Drive PX platform is used by automakers such as Toyota to develop intelligent driving systems.

It also has a presence in the medical field. For example, the Clara platform can help analyze medical images and improve the accuracy of diagnosis.

Moreover, large AI models like ChatGPT used tens of thousands of NVIDIA GPUs during the training process.

It can be said that many of the advancements in artificial intelligence are inseparable from NVIDIA’s technical support.

The Performance and Application Scenarios of NVIDIA Graphics Cards

NVIDIA’s graphics cards are very popular in the gaming field, especially the GeForce series.

It supports ray tracing technology, which can make the lighting effects in games more realistic. At the same time, the DLSS technology can increase the frame rate and ensure smooth operation. NVIDIA has cooperated with many game developers. For example, with a blockbuster game like Cyberpunk 2077, using this graphics card can achieve excellent visual effects.

In the professional field, graphics cards also have a wide range of applications. The Quadro and Titan series are suitable for video editing and 3D rendering, meeting the needs of designers and engineers. The Tesla series is used for AI model training and scientific computing and is often found in data centers.

Whether for entertainment or work, NVIDIA’s graphics cards can provide good performance.

Technical Support: Driver Download and Problem Solving

When using NVIDIA graphics cards, driver programs are essential.

To download the driver, you can go to the NVIDIA official website, find the “Driver” page, enter the model of your graphics card, and select the latest version for download.

It is recommended to turn off the antivirus software during installation to avoid any problems.

• Game Lag: A common problem that can be improved by updating the driver. Update to the latest version according to the previous steps. The new version is often optimized for games and can increase the frame rate.
• Installation Failure: First, go to the NVIDIA official website to confirm whether the graphics card is compatible with the system. If it is compatible, restart the computer and try to install again. If it still doesn’t work, go to the official website’s technical support forum to find solutions or contact the official customer service.

These methods can handle most common problems.

What is the market value of NVIDIA?

NVIDIA’s stock code is NVDA. As of April 8, 2025, its total market value exceeded $2.35 trillion, and the stock price recently dropped to $96.30. To obtain today’s real-time data, since there is significant volatility, it is recommended that you check the latest situation on a professional stock platform.

In terms of financial performance, the earnings per share in the fiscal year 2024 increased by 486%, mainly due to the increase in AI demand.

In the past three years, the stock price has increased by about four times, showing excellent performance. However, some people think that its valuation is on the high side, and its future trend may depend on the continuous development of the AI market. If you are considering investing, you can pay more attention to the real-time market conditions and industry trends.

Conclusion

Starting from graphics cards, NVIDIA has now become a pioneer in the field of AI, demonstrating strong strength. Its GeForce series enhances the gaming experience, and the A100 and H100 chips have promoted the development of AI. Its stock has also performed well in the market… If you want to invest in NVDA, pay more attention to the real-time stock price and industry news. If you want to learn about the technology, the official website is a good place to start. No matter what your needs are, NVIDIA can provide corresponding solutions.

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